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A Computational Model of pH Dynamics within the Cleft of Conventional Neuronal Synapses

2020· article· en· 1 citations· W3004662929 on OpenAlex· 10.1016/j.bpj.2019.11.1635

Why is this work in the frame?

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

Canadian affiliationAn author listed a Canadian institution. This is the only route the usual frame has.

The three-model screen

all 1,000 screened works →

All three models called this out of scope.

stratum: aff_core · design weight: 5595.24 (the sample is stratified; any rate computed without the weight is wrong)
Claude Opus 4.8OUT
genre: empirical
about Canada: no
confidence: high

Computational model of synaptic cleft pH dynamics; a neuroscience question.

GPT-5.6 (high)OUT
genre: empirical
about Canada: no
confidence: high

The work presents a computational model of synaptic pH dynamics.

Grok 4.5OUT
genre: empirical
about Canada: no
confidence: medium

Computational model of synaptic cleft pH is neuroscience domain research; empty abstract but title is unambiguous.

Abstract

No abstract. This is not a gap in this database — OpenAlex has none either. 23.3% of the frame is in this state, and the screen finds HALF as much metaresearch here, so the absence is a measured bias rather than a missing field.

The record

Venue
Biophysical Journal
Topic
Neuroscience and Neuropharmacology Research
Field
Neuroscience
Canadian institutions
Dalhousie University
Funders
Keywords
NeurotransmissionSynaptic cleftBiophysicsExocytosisSynaptic vesicleNeuroscienceGlutamate receptorChemistryNeurotransmitterActive zoneBiologyBiochemistryVesicleMembraneCentral nervous system
Has abstract in OpenAlex
no